Main_SVM_One_Class

chua matlab model simple analysis A solution of these equations (I3,V2,V1)(t) starting from an initial state (I3,V2,V1)(0) is called a trajectory of Chua s oscillator. This function uses a RungeKutta integration method optimised for the chua paradigm Reference: ABC - Adventures in Bifurication & Chaos ... Prof M.P Kennedy 1993

这是基于于ＧＭ（０,１）模型的二级倒立摆控制的ｓｉｍｕｌｉｎｋ仿真程序，它包括建模和仿真程序(This is based on in GM (0, 1) model of the secondary inverted pendulum is control of simulink program, it includes modeling and simulation program )

This is a matrix multiplication as an example of OpenMP parallel programming.

非线性规划算法,基于拉格朗日乘子Hessian矩阵的sqp方法(nonlinear programming algorithm，sqp algorithm based on Lagrange Hessian Matrix)

Matlab 的图形化界面设计，主要功能包括打开一幅图像，并对其进行二值化处理，显示结果。(The GUI of matlab.It can open an image and use the method of mage binaryzation to process it.At last,give us the result.)

主要对扩展卡尔曼滤波（EKF）、无迹卡尔曼滤波（UKF）及改进无迹卡尔曼滤波（MAUKF）算法进行研究，研究了三种算法的基本原理和各自的特点。其中扩展卡尔曼滤波器是将卡尔曼滤波器局部线性化，其算法简单，计算量小，适用于弱非线性、高斯环境。无迹卡尔曼滤波器是用一系列确定样本来逼近状态的后验概率密度。改进无迹卡尔曼滤波算法在UKF的基础上引入衰减因子。(Improved Kalman filtering algorithm)

基于matlab的ask调制模块，只需要调用，是具体调制过程，可以自己定义键控的进制(Ask modulation based on the matlab module, only need to call the process of modulation is specific to their own definition of the M-ary keying)

ldpc的解码程序,matlab实现，已实现，译码速度快(ldpc decoding process, matlab implementation, has achieved fast decoding)

生成ldpc码稀疏矩阵的matlab仿真程序，带有消除小环功能(Generate sparse matrix LDPC code of matlab simulation program, with the elimination of the small ring function)

BP神经网络进行数据分类，是一种多层前馈神经网络，该网络的主要特点是信号前向传递，误差反向传播。运用梯度下降法，(BP neural network is a multi-layer feedforward neural network for data classification. Its main characteristics are forward signal transmission and back error propagation. Using gradient descent method and BP neural network to classify data is a multi-layer feedforward neural network. The main characteristics of this network are forward signal transmission and back error propagation. Using gradient descent method,)